BACKGROUND: Positive and negative affect influence an individual\'s ability to utilize available physical, psychological, and social resources to maximize responses to life events. Little research has examined the factors that influence the development of positive affect or reduction of negative affective responses among deployed military personnel. The present study aimed to investigate the relationship between deployment-related stressors and symptoms of behavioral health concerns with affectivity among deployed U.S. service members.
METHODS: Participants were 1148 U.S. Air Force medical personnel deployed to Balad, Iraq, between 2004 and 2011. All participants completed self-report measures of PTSD symptoms, general military and combat exposure, stress, and affectivity. The Institutional Review Board at Wilford Hall Medical Center, the Air Force Personnel Survey Program, and the U.S. Army\'s Joint Combat Casualty Research Team reviewed and approved the study.
RESULTS: Most respondents (89%, 1,018/1,139) reported a positive military experience, but many respondents reported exposure to a potentially traumatic event during deployment. For example, seeing dead or seriously injured Americans (47%, 523/1,123) was the most common exposure reported by participants. A large portion of personnel (21%, 232/1,089) reported clinical levels of PTSD symptoms (score of 33 or higher on the Posttraumatic Stress Disorder Checklist-Military version). Risk factors, including PTSD symptoms, combat exposure, and stress, explained 39% of the variance in negative affect, R2 = 0.39, F(1046) = 224.96, P < .001. Conversely, these risk and resilience factors, including PTSD symptoms, combat exposure, stress, and general military experiences, explained 28% of the variance in positive affect, R2 = 0.28, F(1050) = 103.79, P < .001. No significant gender differences were found between models predicting positive and negative affect.
CONCLUSIONS: Negative mood states may be partly an epiphenomenon of PTSD, which has been shown to be safely and effectively treated in the deployed environment. Social support during deployments is uniquely associated with a positive mood. These findings extend beyond the military and into any high-stress occupation wherein leaders could interpret these findings as a need to build or reinforce efforts to provide opportunities to sustain healthy relationships in personnel. These critical indigenous resources support mission readiness and enable the maintenance of positive psychological health.

BACKGROUND: Sleep-related disorders are associated with pain, fatigue, and deficits in cognitive performance, which may interfere with successful rehabilitation. The study objectives were to (1) quantify outpatient prescriptions for insomnia medications during the first year following combat-related amputations, (2) examine longitudinal changes in prescriptions for insomnia medications, and (3) analyze patient characteristics associated with prescriptions for insomnia medications.
METHODS: This was a retrospective study of DoD casualty records from the Expeditionary Medical Encounter Dataset and prescriptions for outpatient medications from the Pharmacy Data Transaction Service. Patients were a total of 1,651 U.S. service members who sustained major limb amputations in Operations Iraqi and Enduring Freedom from 2001 through 2017 and had outpatient prescriptions for any medication during the first year postinjury. Prescriptions for medications recommended for insomnia were low-dose antidepressants, anxiolytic sedatives, benzodiazepines, melatonin receptor agonist, and low-dose quetiapine. These prescription medications were analyzed by medication type, postinjury time, and patient characteristics during the first year postinjury.
RESULTS: During the first year postinjury, 78% of patients (1,291 of 1,651) had outpatient prescriptions for insomnia medications, primarily anxiolytic sedative drugs (e.g., zolpidem), averaging a total of 86 prescription days (median = 66). The prevalence of these prescriptions declined substantially during the first year, from 57% of patients during the first quarter to 28% during the fourth quarter postinjury. In univariate analyses, multiple patient characteristics, including high Injury Severity Score, continued opioid and non-opioid analgesic prescriptions, and diagnoses of chronic pain, mood disorder, and posttraumatic stress disorder, were significantly associated with higher prevalence and duration of outpatient prescriptions for insomnia medications.
CONCLUSIONS: The present results indicate a high prevalence of outpatient prescriptions for insomnia medications following combat-related amputations, a prevalence that is substantially higher than previously reported among active duty personnel. These findings can inform DVA/DoD guidelines for amputation care and insomnia among military subpopulations. The results highlight the need for more research on the treatment of insomnia during early postinjury rehabilitation among patients who sustained serious combat injuries.

Former UK military personnel who were previously deployed to Iraq and Afghanistan in combat roles have exhibited elevated levels of Post-Traumatic Stress Disorder (PTSD) compared to other groups. The present qualitative analyses used semi-structured interviews and a framework analysis to compare the experiences of symptomatic (N=10) and asymptomatic (N=7) former Army and Royal Marine personnel who were exposed to combat. Participants were drawn from a large UK military health and wellbeing cohort study and were sampled based upon probable PTSD status using scores from the PTSD Checklist-Civilian Version (PCL-C). All symptomatic participants attributed the development of post-traumatic stress to deployment events, with one additionally ascribing symptoms to childhood events. Among the participants, post-traumatic stress was temporarily buffered, and held at bay, by the holding function of various military structures, including the military collective; cultural and ethical frameworks that helped to organise traumatic experiences; an operational necessity for psychological compartmentalisation and even the distraction of deployment itself. Leaving the military appeared to elicit a global rupture of these supports. As a result, the military-to-civilian transition led to an intensification of post-traumatic stress, including deployment-related memories, among the symptomatic participants. In contrast, asymptomatic participants tended to report continuity of their holding structures across the lifespan, especially across the military-to-civilian transition. The onset and maintenance of post-traumatic stress may thus be explained by an interplay between the capacity of holding structures and the magnitude of lifetime rupture. Overall, findings might provide an explanation for the widening discrepancies between those with enduring post-traumatic stress and those without and further research is required to determine the fit of our findings for other groups and contexts. This approach further illustrates the need to situate individual experiences of post-traumatic stress in wider structural, ecological, cultural and ethical contexts.

BACKGROUND: Poor sleep quality has been associated with changes in brain volume among veterans, particularly those who have experienced mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD). This study sought to investigate (1) whether poor sleep quality is associated with decreased cortical thickness in Iraq and Afghanistan war veterans, and (2) whether these associations differ topographically depending on the presence or absence of mTBI and PTSD.
METHODS: A sample of 440 post-9/11 era U.S. veterans enrolled in the Translational Research Center for Traumatic Brain Injury and Stress Disorders study at VA Boston, MA from 2010 to 2022 was included in the study. We examined the relationship between sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), and cortical thickness in veterans with mTBI (n = 57), PTSD (n = 110), comorbid mTBI and PTSD (n = 129), and neither PTSD nor mTBI (n = 144). To determine the topographical relationship between subjective sleep quality and cortical thickness in each diagnostic group, we employed a General Linear Model (GLM) at each vertex on the cortical mantle. The extent of topographical overlap between the resulting statistical maps was assessed using Dice coefficients.
RESULTS: There were no significant associations between PSQI and cortical thickness in the group without PTSD or mTBI (n = 144) or in the PTSD-only group (n = 110). In the mTBI-only group (n = 57), lower sleep quality was significantly associated with reduced thickness bilaterally in frontal, cingulate, and precuneus regions, as well as in the right parietal and temporal regions (β = -0.0137, P < 0.0005). In the comorbid mTBI and PTSD group (n = 129), significant associations were observed bilaterally in frontal, precentral, and precuneus regions, in the left cingulate and the right parietal regions (β = -0.0094, P < 0.0005). Interaction analysis revealed that there was a stronger relationship between poor sleep quality and decreased cortical thickness in individuals with mTBI (n = 186) compared to those without mTBI (n = 254) specifically in the frontal and cingulate regions (β = -0.0077, P < 0.0005).
CONCLUSIONS: This study demonstrates a significant relationship between poor sleep quality and lower cortical thickness primarily within frontal regions among individuals with both isolated mTBI or comorbid diagnoses of mTBI and PTSD. Thus, if directionality is established in longitudinal and interventional studies, it may be crucial to consider addressing sleep in the treatment of veterans who have sustained mTBI.

BACKGROUND: Military veterans with posttraumatic stress disorder (PTSD) commonly experience posttraumatic guilt. Guilt over commission or omission evolves when responsibility is assumed for an unfortunate outcome (e.g., the death of a fellow combatant). Survivor guilt is a state of intense emotional distress experienced by the weight of knowing that one survived while others did not.
METHODS: This study of the Translational Research Center for TBI and Stress Disorders (TRACTS) analyzed structural and diffusion-weighted magnetic resonance imaging data from 132 male Iraq/Afghanistan veterans with PTSD. The Clinician-Administered PTSD Scale for DSM-IV (CAPS-IV) was employed to classify guilt. Thirty (22.7 %) veterans experienced guilt over acts of commission or omission, 34 (25.8 %) experienced survivor guilt, and 68 (51.5 %) had no posttraumatic guilt. White matter microstructure (fractional anisotropy, FA), cortical thickness, and cortical volume were compared between veterans with guilt over acts of commission or omission, veterans with survivor guilt, and veterans without guilt.
RESULTS: Veterans with survivor guilt had significantly lower white matter FA compared to veterans who did not experience guilt (p < .001), affecting several regions of major white matter fiber bundles. There were no significant differences in white matter FA, cortical thickness, or volumes between veterans with guilt over acts of commission or omission and veterans without guilt (p > .050).
CONCLUSIONS: This cross-sectional study with exclusively male veterans precludes inferences of causality between the studied variables and generalizability to the larger veteran population that includes women.
CONCLUSIONS: Survivor guilt may be a particularly impactful form of posttraumatic guilt that requires specific treatment efforts targeting brain health.

Aggregate statistics can provide intra-conflict and inter-conflict mortality comparisons and trends within and between U.S. combat operations. However, capturing individual-level data to evaluate medical and non-medical factors that influence combat casualty mortality has historically proven difficult. The Department of Defense (DoD) Trauma Registry, developed as an integral component of the Joint Trauma System during recent conflicts in Afghanistan and Iraq, has amassed individual-level data that have afforded greater opportunity for a variety of analyses and comparisons. Although aggregate statistics are easily calculated and commonly used across the DoD, other issues that require consideration include the impact of individual medical interventions, non-medical factors, non-battle-injured casualties, and incomplete or missing medical data, especially for prehospital care and forward surgical team care. Needed are novel methods to address these issues in order to provide a clearer interpretation of aggregate statistics and to highlight solutions that will ultimately increase survival and eliminate preventable death on the battlefield. Although many U.S. military combat fatalities sustain injuries deemed non-survivable, survival among these casualties might be improved using primary and secondary prevention strategies that prevent injury or reduce injury severity. The current commentary proposes adjustments to traditional aggregate combat casualty care statistics by integrating statistics from the DoD Military Trauma Mortality Review process as conducted by the Joint Trauma System and Armed Forces Medical Examiner System.

BACKGROUND: Post-traumatic seizures (PTSs) contribute to morbidity after traumatic brain injury (TBI). Early PTS are rare in combat casualties sustaining TBI, but the prevalence of late PTS is poorly described. We sought to define the prevalence and risk factors of late PTS in combat casualties with computed tomography evidence of TBI.
METHODS: From 2010 to 2015, 687 combat casualties were transferred to a military treatment facility and included in the Department of Defense Trauma Registry. 71 patients with radiographic evidence of TBI were analyzed. Data collection included demographics, injury characteristics, interventions, medications, and outcomes.
RESULTS: Of the 71 patients with evidence of TBI, 66 patients survived hospitalization and were followed. No patients had early PTS, and most received antiepileptic drugs (AEDs) for prophylaxis. At a median follow-up of 7.4 y, late PTS occurred in 25.8% of patients. Patients with late PTS were more severely injured (median Injury severity score 30 versus 24, P = 0.005) and required more blood products (18 units versus 2, P = 0.045). Patients with late PTS were more likely to have had a penetrating TBI (76.5% versus 38.8%, P = 0.01), multiple types of intracranial hemorrhage (94.1% versus 63.3%, P = 0.02), and cranial decompression (76.5% versus 28.6%, P = 0.001). Six-month Glasgow outcome scores were worse (3.5 versus 4.1 P = 0.001) in the late PTS population. No significant relationship was observed between administration of AEDs for early PTS prophylaxis and late PTS.
CONCLUSIONS: Combat casualties with TBI suffering late PTS are more severely injured and require more blood products. Penetrating TBI, intracranial hemorrhage, and need for cranial decompression are correlated with late PTS, and associated with worse Glasgow Outcome Score. The administration of prophylactic AEDs for early PTS was not associated with a difference in rates of late PTS.

OBJECTIVE: Post-9/11-era veterans with traumatic brain injury (TBI) have greater health-related complexity than veterans overall, and may require coordinated care from TBI specialists such as those within the Department of Veterans Affairs (VA) healthcare system. With passage of the Choice and MISSION Acts, more veterans are using VA-purchased care delivered by community providers who may lack TBI training. We explored prevalence and correlates of VA-purchased care use among post-9/11 veterans with TBI.
METHODS: Nationwide VA-purchased care from 2016 through 2019.
METHODS: Post-9/11-era veterans with clinician-confirmed TBI based on VA\'s Comprehensive TBI Evaluation (N = 65 144).
METHODS: This was a retrospective, observational study.
METHODS: Proportions of veterans who used VA-purchased care and both VA-purchased and VA-delivered outpatient care, overall and by study year. We employed multivariable logistic regression to assess associations between veterans\' sociodemographic, military history, and clinical characteristics and their likelihood of using VA-purchased care from 2016 through 2019.
RESULTS: Overall, 51% of veterans with TBI used VA-purchased care during the study period. Nearly all who used VA-purchased care (99%) also used VA-delivered outpatient care. Veterans\' sociodemographic, military, and clinical characteristics were associated with their likelihood of using VA-purchased care. Notably, in adjusted analyses, veterans with moderate/severe TBI (vs mild), those with higher health risk scores, and those diagnosed with posttraumatic stress disorder, depression, anxiety, substance use disorders, or pain-related conditions had increased odds of using VA-purchased care. Additionally, those flagged as high risk for suicide also had higher odds of VA-purchased care use.
CONCLUSIONS: Veterans with TBI with greater health-related complexity were more likely to use VA-purchased care than their less complex counterparts. The risks of potential care fragmentation across providers versus the benefits of increased access to care are unknown. Research is needed to examine health and functional outcomes among these veterans.

BACKGROUND: Information from published studies describing dental treatment of nonmilitary personnel in a military theater of operations is sparse. The primary objective of this study is to determine the number of dental emergencies (DEs) and the types of dental treatment rendered on non-U.S. military (civilian) personnel treated by Navy dentists in 2007-2008 in Iraq and 2009 in Afghanistan. The second objective is to compare the type of DE treatment procedures provided to civilian personnel to the type of DE treatment procedures performed on U.S. military personnel.
METHODS: Navy Dental Officers documented the diagnoses of unscheduled DEs. All treatment provided was described at the time of treatment using the Current Dental Terminology codes of the American Dental Association. Current Dental Terminology Code A0145 (2007 and earlier) and A0199 (2008 onward) in the patient encounter indicated a DE. This study is limited to DE occurring in (1) patient categories: U.S. civilian employees, other beneficiaries of the U.S. Government, foreign national civilian/dependents, and civilian, no government connection and (2) U.S. military service members. Chi-square analysis was performed to compare the proportion of dental treatment category procedures on civilian patients compared to those on U.S. military patients.
RESULTS: During the reporting period, 308 patients were treated for DE in Afghanistan. Civilians treated accounted for 18.5% (n = 57) of all DEs. Nearly 93.0% of civilians who were treated were U.S. (DoD) civilian employees. Of the 57 civilian patients treated for DE, 61.4% of patients (n = 35) received oral surgery. There were 251 U.S. military patient encounters (81.5% of all DEs). Restorative dentistry was the most common dental procedure for military personnel DE. When comparing civilian and military patients, civilian patients are statistically more likely than military patients to receive oral surgery treatment for DE (P < .00001). In Iraq, 3,198 patients were treated for DE during the reporting period. Civilians treated accounted for 18.8% (n = 601) of all DEs. About 56.9% (n = 342) of civilians who were treated were U.S. contract employees. Of the 601 civilian patients treated for DE, 37.1% (n = 223) received oral surgery. There were 2,597 U.S. military patient DE encounters, and restorative dentistry was the most common dental procedure. When comparing civilian and U.S. military patients in Iraq, civilians are statistically less likely to have their DE treated by restorative dentistry (P < .00001) and are more likely have it treated by oral surgery/extractions (P < .00001). It is significantly more likely for civilians to have multiple categories of DE that must be treated (P< .00001).
CONCLUSIONS: The primary group of civilians treated for DE in Afghanistan was U.S. civilian employees. The primary group of civilians treated for DE in Iraq were contract employees of the U.S. Government. The primary dental treatment of civilian beneficiaries in both the theaters of operation was oral surgery. This brings into question what dental fitness standards are there for primarily U.S. civilian and contract employees.

BACKGROUND: Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment.
METHODS: We obtained data from the VA Corporate Data Warehouse (CDW). EHR data were extracted for 127,423 Veterans who deployed to Iraq/Afghanistan after 9/11 with a positive depression screen and a first depression diagnosis between 2001 and 2021. We also obtained 12-month pre-diagnosis and post-diagnosis patient data. Retrospective cohort analysis was employed to test if predictors can reliably differentiate patients who initiated, delayed, or received no mental health treatment associated with their depression diagnosis.
RESULTS: 108,457 Veterans with depression, initiated depression-related care (55,492 Veterans delayed treatment beyond one month). Those who were male, without VA disability benefits, with a mild depression diagnosis, and had a history of psychotherapy were less likely to initiate treatment. Among those who initiated care, those with single and mild depression episodes at baseline, with either PTSD or who lacked comorbidities were more likely to delay treatment for depression. A history of mental health treatment, of an anxiety disorder, and a positive depression screen were each related to faster treatment initiation. Classification of patients was modest (ROC AUC = 0.59 95%CI = 0.586-0.602; machine learning F-measure = 0.46).
CONCLUSIONS: Having VA disability benefits was the strongest predictor of treatment initiation after a depression diagnosis and a history of mental health treatment was the strongest predictor of delayed initiation of treatment. The complexity of the relationship between VA benefits and history of mental health care with treatment initiation after a depression diagnosis is further discussed. Modest classification accuracy with currently known predictors suggests the need to identify additional predictors of successful depression management.